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b2b5df0e94
This PR adds support for AMD Instinct MI210 & MI250 GPUs, with paged attention and FAv2 support. Remaining items to discuss, on top of possible others: * Should we have a `ghcr.io/huggingface/text-generation-inference:1.1.0+rocm` hosted image, or is it too early? * Should we set up a CI on MI210/MI250? I don't have access to the runners of TGI though. * Are we comfortable with those changes being directly in TGI, or do we need a fork? --------- Co-authored-by: Felix Marty <felix@hf.co> Co-authored-by: OlivierDehaene <olivier@huggingface.co> Co-authored-by: Your Name <you@example.com> |
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| .. | ||
| __init__.py | ||
| bloom_modeling.py | ||
| flash_llama_modeling.py | ||
| flash_mistral_modeling.py | ||
| flash_neox_modeling.py | ||
| flash_rw_modeling.py | ||
| flash_santacoder_modeling.py | ||
| idefics_config.py | ||
| idefics_image_processing.py | ||
| idefics_modeling.py | ||
| idefics_perceiver.py | ||
| idefics_processing.py | ||
| idefics_vision.py | ||
| mpt_modeling.py | ||
| neox_modeling.py | ||
| opt_modeling.py | ||
| t5_modeling.py | ||